School of Semiconductor and Chemical Engineering, Nanomaterials Processing Research Center, Chonbuk National University, 567 Baekjedaero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of Korea.
School of Semiconductor and Chemical Engineering, Nanomaterials Processing Research Center, Chonbuk National University, 567 Baekjedaero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of Korea.
J Colloid Interface Sci. 2018 Apr 15;516:67-75. doi: 10.1016/j.jcis.2018.01.052. Epub 2018 Jan 16.
There are increasing demands of more sensitive sensors for monitoring potential hazards in real water that may cause serious problems to human health. Herein, we report the development of a non-enzymatic nitrite sensor using nanocomposite of reduced graphene oxide decorated with silver nanoparticle (Ag-rGO). First, Ag-rGO nanocomposite was synthesized using a facile and cost-effective microwave-assisted approach. Then, as-synthesized Ag-rGO nanocomposite was used to modify glassy carbon electrode (GCE) and applied for the sensitive and selective detection of nitrite in the aqueous medium with increasing concentration of nitrite. Under optimized conditions, sensor achieved high sensitive response (18.4 μA/μM·cm) in a wide linear range (0.1-120 μM), low limit of detection (∼0.012 μM), and good selectivity using differential pulse voltammograms (DPV). The applicability of fabricated non-enzymatic nitrite sensor was checked in real sample with satisfactory results.
越来越多的人需要更敏感的传感器来监测真实水体中的潜在危险,这些危险可能会对人类健康造成严重问题。在此,我们报告了一种使用还原氧化石墨烯修饰的银纳米粒子(Ag-rGO)的纳米复合材料来开发非酶亚硝酸根传感器。首先,使用简便且经济高效的微波辅助方法合成了 Ag-rGO 纳米复合材料。然后,将合成的 Ag-rGO 纳米复合材料用于修饰玻碳电极(GCE),并应用于具有增加亚硝酸根浓度的水溶液中亚硝酸根的灵敏和选择性检测。在优化条件下,传感器在宽线性范围内(0.1-120μM)使用差分脉冲伏安法(DPV)实现了高灵敏响应(18.4μA/μM·cm)、低检测限(∼0.012μM)和良好的选择性。用制备的非酶亚硝酸根传感器在实际样品中的适用性进行了检查,结果令人满意。